Results 41 to 50 of about 1,403,082 (309)

Deep Learning: A Review for the Radiation Oncologist

open access: yesFrontiers in Oncology, 2019
Introduction: Deep Learning (DL) is a machine learning technique that uses deep neural networks to create a model. The application areas of deep learning in radiation oncology include image segmentation and detection, image phenotyping, and radiomic ...
Luca Boldrini   +4 more
doaj   +1 more source

Liquid profiling for cancer patient stratification in precision medicine – current status and challenges for successful implementation in standard care

open access: yesJournal of Laboratory Medicine, 2022
Circulating tumor DNA (ctDNA), accurately described by the term liquid profiling (LP), enables real-time assessment of the tumor mutational profile as a minimally invasive test and has therefore rapidly gained traction, particular for the management of ...
Haselmann Verena   +2 more
doaj   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Clinical metagenomics. [PDF]

open access: yes, 2019
Clinical metagenomic next-generation sequencing (mNGS), the comprehensive analysis of microbial and host genetic material (DNA and RNA) in samples from patients, is rapidly moving from research to clinical laboratories. This emerging approach is changing
Chiu, Charles Y, Miller, Steven A
core  

Investigation on Clinical Oncology Teaching Among Medical Students

open access: yesXiehe Yixue Zazhi
Objective  To investigate the needs of eight-year program clinical medical students for the organization and contents of clinical oncology courses.  Methods  From September to November 2020, a questionnaire survey was conducted among eight-year program ...
ZHANG Zhiyang   +6 more
doaj   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

open access: yesMolecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Rapid, ultra low coverage copy number profiling of cell-free DNA as a precision oncology screening strategy. [PDF]

open access: yes, 2017
Current cell-free DNA (cfDNA) next generation sequencing (NGS) precision oncology workflows are typically limited to targeted and/or disease-specific applications.
Alva, Ajjai S   +31 more
core   +1 more source

DPYD Genotyping, Fluoropyrimidine Dosage and Toxicity: An Umbrella Review of Systematic Reviews

open access: yesPharmaceuticals
Background/Objectives: Fluoropyrimidines are widely used chemotherapeutic agents in various solid tumors. Germline variants in the DPYD gene, which encodes the enzyme dihydropyrimidine dehydrogenase (DPD), are known to impair drug metabolism and increase
Sara Otero-Torres   +6 more
doaj   +1 more source

Expert Consensus on Prevention and Treatment of COVID-19 Infection in Patients with Lung Cancer

open access: yesChinese Journal of Lung Cancer, 2023
Corona virus disease 2019 (COVID-19) infection has become a major public health issue affecting human health. The main goal of epidemic prevention and control at the current stage in China is to “protect people’s health and prevent severe cases ...
Non-small Cell Lung Cancer Expert Committee of Chinese Society of Clinical Oncology   +1 more
doaj   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

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